Configure microsegmentation policies to enforce least-privilege workload-to-workload access using tools like VMware NSX, Illumio, and Calico, preventing lateral movement in zero trust architectures.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionconfiguring-microsegmentation-for-zero-trustExecute the skills CLI command in your project's root directory to begin installation:
Fetches configuring-microsegmentation-for-zero-trust from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate configuring-microsegmentation-for-zero-trust. Access via /configuring-microsegmentation-for-zero-trust in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
8.6K
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
8.6K
stars
| name | configuring-microsegmentation-for-zero-trust |
| description | Configure microsegmentation policies to enforce least-privilege workload-to-workload access using tools like VMware NSX, Illumio, and Calico, preventing lateral movement in zero trust architectures. |
| domain | cybersecurity |
| subdomain | zero-trust-architecture |
| tags | - zero-trust - microsegmentation - network-access - lateral-movement - network-security |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.AA-01 - PR.AA-05 - PR.IR-01 - GV.PO-01 |
Microsegmentation divides a network into granular security zones, enforcing least-privilege access between workloads at the application layer rather than relying on traditional VLAN-based segmentation. In a zero trust architecture, microsegmentation eliminates implicit trust between workloads within the same network segment, preventing lateral movement even after an attacker gains initial access.
This skill covers designing microsegmentation policies using workload identity, implementing host-based and network-based enforcement, and validating segmentation effectiveness with tools like Illumio Core and VMware NSX.
Traditional Segmentation Microsegmentation
┌─────────────────┐ ┌──────────────────────┐
│ VLAN 10 │ │ Workload A ←policy→ │
│ ┌───┐ ┌───┐ │ │ Workload B ←policy→ │
│ │ A │ │ B │ │ │ Workload C ←policy→ │
│ └───┘ └───┘ │ │ Workload D ←policy→ │
│ (trust each │ │ (zero trust between │
│ other) │ │ every pair) │
└─────────────────┘ └──────────────────────┘
Before creating segmentation policies, discover actual communication flows between workloads using traffic telemetry. Tools like Illumio, Guardicore, and AppDynamics provide application dependency maps showing which workloads communicate, over which ports, and how frequently.
Draft policies in monitor/visibility mode before enforcement. This allows validation that proposed rules will not break legitimate traffic while identifying unnecessary or risky communication paths.
Modern microsegmentation uses labels (role, application, environment, location) instead of IP-based rules. Label-based policies are portable across environments and survive IP changes during migrations.
Isolate critical applications (PCI cardholder data environment, SWIFT financial systems, healthcare PHI) with strict allow-list policies that deny all traffic not explicitly permitted.
Deploy Visibility Agents
Build Application Dependency Map
Assign Labels
Define Segmentation Zones
Create Allow-List Policies
Model Policies in Test Mode
Enforce Incrementally
Validate Segmentation
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
configuring-microsegmentation-for-zero-trust fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for configuring-microsegmentation-for-zero-trust matched our evaluation — installs cleanly and behaves as described in the markdown.
configuring-microsegmentation-for-zero-trust has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in configuring-microsegmentation-for-zero-trust — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend configuring-microsegmentation-for-zero-trust for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
configuring-microsegmentation-for-zero-trust fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for configuring-microsegmentation-for-zero-trust matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: configuring-microsegmentation-for-zero-trust is focused, and the summary matches what you get after install.
We added configuring-microsegmentation-for-zero-trust from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
configuring-microsegmentation-for-zero-trust reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 39